CN111597284A - Method for rapidly extracting surveying and mapping geographic information data - Google Patents
Method for rapidly extracting surveying and mapping geographic information data Download PDFInfo
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- CN111597284A CN111597284A CN202010359337.7A CN202010359337A CN111597284A CN 111597284 A CN111597284 A CN 111597284A CN 202010359337 A CN202010359337 A CN 202010359337A CN 111597284 A CN111597284 A CN 111597284A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C15/00—Surveying instruments or accessories not provided for in groups G01C1/00 - G01C13/00
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
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- Theoretical Computer Science (AREA)
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- Radar, Positioning & Navigation (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
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Abstract
The invention relates to a method for rapidly extracting mapping geographic information data, which comprises the following steps: s1: preprocessing the mapping geographic data; s2: extracting gray level features of the mapped geographic data; s3: extracting texture features of the mapped geographic data; s4: and extracting spatial relation features of the mapping geographic data. The invention has the beneficial effects that: the geographic information data of survey and drawing can be extracted fast.
Description
Technical Field
The invention relates to the field of surveying and mapping, in particular to a method for quickly extracting surveying and mapping geographic information data.
Background
With the continuous development of scientific technology and the continuous improvement of the living standard of people, the electronic map has the advantages of being capable of visually displaying information such as land feature and landform characteristics, road information, house buildings and the like by the characteristics of accurate data and short updating period, and the electronic map occupies more and more important position in daily life of people. Therefore, for the electronic mapping technology for mapping the electronic map, how to quickly extract mapping geographic information data is an extremely important issue.
Disclosure of Invention
The invention aims to solve the technical problem of providing a method for rapidly extracting mapping geographic information data so as to solve the problem.
The technical scheme for solving the technical problems is as follows: a method for rapidly extracting mapping geographic information data comprises the following steps:
s1: preprocessing the mapping geographic data;
s2: extracting gray level features of the mapped geographic data;
s3: extracting texture features of the mapped geographic data;
s4: and extracting spatial relation features of the mapping geographic data.
The invention has the beneficial effects that: the geographic information data of survey and drawing can be extracted fast.
On the basis of the technical scheme, the invention can be further improved as follows.
Further, preprocessing the surveying and mapping geographic data in the step S1 includes filtering and removing dryness, histogram equalization, geometric correction of the map scanning image, and establishment of a mapping relationship between the geographic coordinates of the electronic map image and the pixel coordinates of the remote sensing image.
Further, the method for extracting the gray-scale feature of the mapping geographic data in S2 includes calculating a gray-scale mean and a variance.
Further, the method for extracting texture features of the mapped geographic data in S3 is a grayscale difference statistical method.
Further, the formula of the grayscale difference statistical method is g Δ (x, y) -g (x + Δ x, y + Δ y), where g (x, y) is the pixel value of the (x, y) position in the image, Δ x, Δ y are the offsets in the x and y directions, respectively, and g Δ (x, y) represents the grayscale difference between (x, y) and its slight offset point (x + Δ x, y + Δ y).
Further, the method for extracting the spatial relationship feature of the mapping geographic data in S4 includes:
(a) uniformly dividing an image into a plurality of rule sub-blocks;
(b) then, features are extracted for each image sub-block, and an index is established.
Drawings
FIG. 1 is a flow chart of the steps of the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, a method for rapidly extracting mapping geographic information data includes the following steps:
s1: preprocessing the mapping geographic data;
s2: extracting gray level features of the mapped geographic data;
s3: extracting texture features of the mapped geographic data;
s4: and extracting spatial relation features of the mapping geographic data.
And S1, preprocessing the surveying and mapping geographic data, including filtering and dehumidifying, histogram equalization, geometric correction of the map scanning image, and establishment of a mapping relation between the geographic coordinates of the electronic map image and the pixel coordinates of the remote sensing image.
The method for extracting the gray scale features of the mapping geographic data in the S2 comprises calculating a gray scale mean value and a variance.
The method for extracting texture features of the mapped geographic data in S3 is a grayscale difference statistical method.
The formula of the grayscale difference statistical method is g Δ (x, y) -g (x + Δ x, y + Δ y), where g (x, y) is the pixel value of the (x, y) position in the image, Δ x and Δ y are the offsets in the x and y directions, respectively, and g Δ (x, y) represents the grayscale difference between (x, y) and its slight offset point (x + Δ x, y + Δ y).
The method for extracting the spatial relationship features of the mapping geographic data in the S4 comprises the following steps:
(a) uniformly dividing an image into a plurality of rule sub-blocks;
(b) then, features are extracted for each image sub-block, and an index is established.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (6)
1. A method for rapidly extracting mapping geographic information data is characterized by comprising the following steps:
s1: preprocessing the mapping geographic data;
s2: extracting gray level features of the mapped geographic data;
s3: extracting texture features of the mapped geographic data;
s4: and extracting spatial relation features of the mapping geographic data.
2. The method of claim 1, wherein the preprocessing of the geographic information data includes filtering, histogram equalization, geometric correction of the scanned map image, and establishment of a mapping relationship between geographic coordinates of the electronic map image and pixel coordinates of the remote sensing image in S1.
3. The method of claim 1, wherein the step of extracting the gray scale feature of the geographic mapping data in S2 includes calculating a gray scale mean and a variance.
4. The method for rapidly extracting geographic information data for mapping as claimed in claim 1, wherein the method for extracting texture features of geographic information data for mapping in S3 is a gray scale difference statistics method.
5. The method of claim 4, wherein the formula of the grayscale difference statistic is g Δ (x, y) -g (x + Δ x, y + Δ y), where g (x, y) is the pixel value of (x, y) position in the image, Δ x, Δ y are the offsets in x, y directions, respectively, and g Δ (x, y) represents the grayscale difference between (x, y) and its slight offset point (x + Δ x, y + Δ y).
6. The method for rapidly extracting geographic information data for surveying and mapping as claimed in claim 1, wherein the method for extracting spatial relationship features of geographic information for surveying and mapping in S4 is as follows:
(a) uniformly dividing an image into a plurality of rule sub-blocks;
(b) then, features are extracted for each image sub-block, and an index is established.
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| CN202010359337.7A CN111597284A (en) | 2020-04-29 | 2020-04-29 | Method for rapidly extracting surveying and mapping geographic information data |
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| CN202010359337.7A CN111597284A (en) | 2020-04-29 | 2020-04-29 | Method for rapidly extracting surveying and mapping geographic information data |
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| CN111597284A true CN111597284A (en) | 2020-08-28 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112651919A (en) * | 2021-01-26 | 2021-04-13 | 南京超辰信息科技有限公司 | Remote sensing image surveying and mapping and processing system |
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| CN109816707A (en) * | 2018-12-25 | 2019-05-28 | 中铁第四勘察设计院集团有限公司 | A kind of field of opencast mining information extracting method based on high-resolution satellite image |
| CN110826509A (en) * | 2019-11-12 | 2020-02-21 | 云南农业大学 | Grassland fence information extraction system and method based on high-resolution remote sensing image |
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2020
- 2020-04-29 CN CN202010359337.7A patent/CN111597284A/en active Pending
Patent Citations (7)
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| US20080240513A1 (en) * | 2007-03-26 | 2008-10-02 | Nec (China) Co., Ltd. | Method and device for updating map data |
| CN107273813A (en) * | 2017-05-23 | 2017-10-20 | 国家地理空间信息中心 | Geographical space elements recognition system based on high score satellite remote sensing date |
| CN109685757A (en) * | 2017-10-18 | 2019-04-26 | 航天信息股份有限公司 | A kind of non-reference picture quality appraisement method and system based on grey scale difference statistics |
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| CN112651919A (en) * | 2021-01-26 | 2021-04-13 | 南京超辰信息科技有限公司 | Remote sensing image surveying and mapping and processing system |
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